惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Martin Fowler
Martin Fowler
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
T
Threat Research - Cisco Blogs
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
C
Cyber Attacks, Cyber Crime and Cyber Security
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
T
Troy Hunt's Blog
V
V2EX - 技术
Hacker News - Newest:
Hacker News - Newest: "LLM"
H
Heimdal Security Blog
T
Tor Project blog
IT之家
IT之家
Project Zero
Project Zero
GbyAI
GbyAI
Security Latest
Security Latest
S
Security Archives - TechRepublic
人人都是产品经理
人人都是产品经理
大猫的无限游戏
大猫的无限游戏
Spread Privacy
Spread Privacy
S
Security Affairs
A
Arctic Wolf
C
Cybersecurity and Infrastructure Security Agency CISA
I
Intezer
P
Palo Alto Networks Blog
宝玉的分享
宝玉的分享
Google DeepMind News
Google DeepMind News
T
Threatpost
I
InfoQ
F
Full Disclosure
Blog — PlanetScale
Blog — PlanetScale
Last Week in AI
Last Week in AI
Cisco Talos Blog
Cisco Talos Blog
N
Netflix TechBlog - Medium
MyScale Blog
MyScale Blog
H
Help Net Security
S
Securelist
Y
Y Combinator Blog
月光博客
月光博客
博客园_首页
Engineering at Meta
Engineering at Meta
酷 壳 – CoolShell
酷 壳 – CoolShell
J
Java Code Geeks
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
A
About on SuperTechFans
K
Kaspersky official blog
Microsoft Azure Blog
Microsoft Azure Blog
Vercel News
Vercel News
阮一峰的网络日志
阮一峰的网络日志
T
The Exploit Database - CXSecurity.com
B
Blog

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything BFF模式详解:构建前后端协同的中间层 I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
Build a typed CLI from scratch with Commander.js + Zod
Cris Mihalac · 2026-04-23 · via DEV Community

The problem with untyped CLIs

Commander.js is great for parsing arguments, but it hands you everything as string | undefined — regardless of what type you declared in the option definition. The <number> in .option("--count <number>") is cosmetic. What lands in your action handler is raw text from process.argv, and the coercion, validation, and type-narrowing is entirely on you. Most developers paper over this with parseInt(opts.count as string) and hope for the best. That works until a user passes "banana" and your tool crashes with a stack trace instead of a helpful message.

We already have the right tool for this: Zod. It's everywhere in the Node.js ecosystem for HTTP bodies, env vars, and config files — but rarely applied at the CLI layer. That's the gap this post fills. By the end you'll have a CLI that validates all inputs at the boundary, gives users readable error messages, and is fully typed end-to-end with no casts and no any.


1. Project scaffold

mkdir my-cli && cd my-cli
npm init -y
npm install commander zod
npm install -D typescript tsx @types/node
npx tsc --init

Enter fullscreen mode Exit fullscreen mode

Three dependencies: commander for the CLI surface, zod for validation, tsx to run TypeScript directly during development without a compile step. Update tsconfig.json:

{
  "compilerOptions": {
    "strict": true,
    "target": "ES2022",
    "module": "Node16",
    "moduleResolution": "Node16",
    "outDir": "dist"
  }
}

Enter fullscreen mode Exit fullscreen mode

strict: true is non-negotiable here — it's exactly what catches the class of bugs we're solving. Wire up bin and scripts in package.json:

{
  "bin": { "my-cli": "./dist/index.js" },
  "scripts": {
    "dev": "tsx src/index.ts",
    "build": "tsc"
  }
}

Enter fullscreen mode Exit fullscreen mode


2. Your first typed command

import { Command } from "commander";

const program = new Command();

program
  .name("my-cli")
  .option("--name <string>", "Your name")
  .option("--count <number>", "How many times to greet")
  .action((opts) => {
    console.log(opts);
  });

program.parse(process.argv);

Enter fullscreen mode Exit fullscreen mode

Run it:

npx tsx src/index.ts --name Alice --count 3
# { name: 'Alice', count: '3' }

Enter fullscreen mode Exit fullscreen mode

count is '3' — a string. Commander doesn't coerce types. If you do arithmetic with it you get string concatenation. If you type-guard with typeof opts.count === 'number' it always returns false. This is the gap Zod fills.


3. Enter Zod — schema-validate your options

Treat program.opts() the same way you'd treat an untrusted HTTP request body: validate at the boundary, only work with the parsed output. Define a schema and run opts through it:

import { z } from "zod";

const OptionsSchema = z.object({
  name: z.string().min(1, "Name cannot be empty"),
  count: z.coerce.number().int().positive().default(1),
});

program.action((opts) => {
  const options = OptionsSchema.parse(opts);

  for (let i = 0; i < options.count; i++) {
    console.log(`Hello, ${options.name}!`);
  }
});

Enter fullscreen mode Exit fullscreen mode

z.coerce.number() calls Number(value) before validating, converting Commander's "3" to 3. If someone passes --count banana, Zod rejects it cleanly instead of silently producing NaN. .int().positive() enforces additional constraints without a single if statement. .default(1) makes the option optional — Zod fills it in. After .parse(), options has the inferred type { name: string; count: number } — no annotation required.


4. User-friendly validation errors

Right now a failed parse throws a raw ZodError JSON blob at the user. Fix that with a small reusable helper using safeParse():

import { ZodSchema } from "zod";

function parseOptions<T>(schema: ZodSchema<T>, opts: unknown): T {
  const result = schema.safeParse(opts);

  if (!result.success) {
    console.error("Invalid options:\n");
    result.error.issues.forEach((issue) => {
      console.error(`  --${issue.path.join(".")}  ${issue.message}`);
    });
    console.error("\nRun with --help for usage.\n");
    process.exit(1);
  }

  return result.data;
}

Enter fullscreen mode Exit fullscreen mode

Before vs after, when --name is missing:

# Before
ZodError: [{"code":"too_small","path":["name"],"message":"Name cannot be empty"...}]

# After
Invalid options:

  --name  Name cannot be empty

Run with --help for usage.

Enter fullscreen mode Exit fullscreen mode

This helper is generic — T is inferred from the schema, so the return type is always exactly right. opts is unknown, which correctly models the untrusted input. Replace all direct .parse() calls with parseOptions(schema, opts) going forward.


5. Scaling to subcommands

As your CLI grows, each command gets its own schema and calls the same helper — no copy-pasted validation logic:

const InitSchema = z.object({
  dir: z.string().default("."),
  force: z.boolean().default(false),
});

const RunSchema = z.object({
  name: z.string().min(1),
  count: z.coerce.number().int().positive().default(1),
});

program
  .command("init")
  .option("--dir <path>", "Target directory")
  .option("--force", "Overwrite existing files")
  .action((opts) => {
    const options = parseOptions(InitSchema, opts);
    console.log(`Initializing in ${options.dir}`);
  });

program
  .command("run")
  .option("--name <string>", "Your name")
  .option("--count <number>", "How many times to greet")
  .action((opts) => {
    const options = parseOptions(RunSchema, opts);
    for (let i = 0; i < options.count; i++) {
      console.log(`Hello, ${options.name}!`);
    }
  });

Enter fullscreen mode Exit fullscreen mode

Inside the init action, options has type { dir: string; force: boolean }. Inside run, it's { name: string; count: number }. TypeScript infers these separately from each schema — accessing options.name in the init handler is a compile error, not a runtime surprise.


6. Help menus and .env support

Commander generates --help automatically from your .option() descriptions — you already have it for free. One gotcha: Zod's .default() values don't appear in Commander's help output. Mirror them manually in the third argument to .option():

.option("--count <number>", "How many times to greet", "1")

Enter fullscreen mode Exit fullscreen mode

For .env support, merge environment variables into opts before parsing. Zod doesn't care where values originate — it just validates the final object:

import "dotenv/config";

program.command("run").action((cliOpts) => {
  const merged = {
    name: process.env.CLI_NAME,
    count: process.env.CLI_COUNT,
    ...cliOpts, // CLI flags win over env vars
  };
  const options = parseOptions(RunSchema, merged);
});

Enter fullscreen mode Exit fullscreen mode

Env vars as defaults, CLI flags as overrides — one schema validates both.


7. Publishing to npm

Add a shebang as the very first line of src/index.ts (before imports):

#!/usr/bin/env node

Enter fullscreen mode Exit fullscreen mode

Build, make the output executable, test locally with npm link, then publish:

npm run build
chmod +x dist/index.js
npm link
my-cli run --name Cris --count 3  # test it
npm unlink my-cli
npm publish --access public

Enter fullscreen mode Exit fullscreen mode

Verify with npx my-cli run --name Cris --count 3 — if that works, you're done.


Wrapping up

The pattern in one line: Commander owns the surface, Zod owns the contract. Commander parses and routes. Zod coerces, validates, defaults, and types. The parseOptions helper — 15 lines — is the glue, and it scales to any number of subcommands without modification.

This isn't CLI-specific either. The same schema-at-boundary approach applies to HTTP bodies, env vars, and config files. Validate everything at every input boundary, work only with validated data inside your logic, and an entire category of runtime bugs stops existing.

The full source is on GitHub: [link to your repo]

Next up: adding --json output mode and stdin piping so your CLI composes cleanly in shell pipelines.


Found this useful? Drop a reaction or leave a comment — feedback helps me prioritise what to cover next in this series.